Nguyen Quang Hieu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Compressive Sensing

Resource Allocation

Reinforcement Learning

Multiple Access

Top Venues

IEEE Trans. Commun.

IEEE Wirel. Commun. Lett.

IEEE Netw. Lett.

Publications

Md Arif Hassan, Mohammad Behdad Jamshidi, Bui Duc Manh, Nam Hoai Chu, Chi-Hieu Nguyen, Nguyen Quang Hieu, Cong T. Nguyen, Dinh Thai Hoang, Diep N. Nguyen, Nguyen Van Huynh, Mohammad Abu Alsheikh, Eryk Dutkiewicz
Enabling Technologies for Web 3.0: A Comprehensive Survey. CoRR (2024)
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
Enabling Immersion and Presence in the Metaverse with Over-the-Air Brain-Computer Interface. CoRR (2023)
Nguyen Quang Hieu, Nguyen Le Quy Duong, Le Quang Hoa, Nguyen Quang Dat
An approach to extract information from academic transcripts of HUST. CoRR (2023)
Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Chin-Teng Lin
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey. CoRR (2023)
Nguyen Quang Hieu, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach. IEEE J. Sel. Areas Commun. 41 (5) (2023)
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Diep N. Nguyen, Dong In Kim, Abbas Jamalipour
Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks With Covert Communications. IEEE Trans. Commun. 71 (4) (2023)
Nguyen Quang Hieu, Nam Hoai Chu, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
A Unified Resource Allocation Framework for Virtual Reality Streaming over Wireless Networks. ICC (2023)
Nguyen Van Huynh, Nguyen Quang Hieu, Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
Defeating Eavesdroppers with Ambient Backscatter Communications. WCNC (2023)
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Mohammad Abu Alsheikh
Reconstructing Human Pose from Inertial Measurements: A Generative Model-based Compressive Sensing Approach. CoRR (2023)
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
Toward BCI-Enabled Metaverse: A Joint Learning and Resource Allocation Approach. GLOBECOM (2023)
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Diep N. Nguyen, Dong In Kim, Abbas Jamalipour
Joint Power Allocation and Rate Control for Rate Splitting Multiple Access Networks with Covert Communications. CoRR (2022)
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim, Chau Yuen
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles With Joint Radar-Data Communications. IEEE Trans. Commun. 70 (8) (2022)
Nguyen Quang Hieu, The Anh Tran, Cong Luong Nguyen, Dusit Niyato, Dong In Kim, Erik Elmroth
Deep Reinforcement Learning for Resource Management in Blockchain-Enabled Federated Learning Network. IEEE Netw. Lett. 4 (3) (2022)
Nguyen Quang Hieu, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
When Virtual Reality Meets Rate Splitting Multiple Access: A Joint Communication and Computation Approach. CoRR (2022)
Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz
Toward BCI-enabled Metaverse: A Joint Radio and Computing Resource Allocation Approach. CoRR (2022)
Nguyen Van Huynh, Nguyen Quang Hieu, Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang, Eryk Dutkiewicz
A Novel Covert Communication Method using Ambient Backscatter Communications. CoRR (2022)
Kevin Shen-Hoong Ong, Wenbo Wang, Nguyen Quang Hieu, Dusit Niyato, Thomas Friedrichs
Predictive Maintenance Model for IIoT-Based Manufacturing: A Transferable Deep Reinforcement Learning Approach. IEEE Internet Things J. 9 (17) (2022)
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim
Optimal Power Allocation for Rate Splitting Communications with Deep Reinforcement Learning. CoRR (2021)
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Ping Wang, Dong In Kim, Chau Yuen
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications. CoRR (2021)
Nguyen Van Tam, Nguyen Quang Hieu, Nguyen Thi Thanh Van, Nguyen Cong Luong, Dusit Niyato, Dong In Kim
Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach. IEEE Commun. Lett. 25 (12) (2021)
Nguyen Quang Hieu, Dinh Thai Hoang, Dusit Niyato, Dong In Kim
Optimal Power Allocation for Rate Splitting Communications With Deep Reinforcement Learning. IEEE Wirel. Commun. Lett. 10 (12) (2021)
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong, Dusit Niyato, Dong In Kim, Erik Elmroth
Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach. CoRR (2020)
Nguyen Quang Hieu, Dinh Thai Hoang, Nguyen Cong Luong, Dusit Niyato
iRDRC: An Intelligent Real-time Dual-functional Radar-Communication System for Automotive Vehicles. CoRR (2020)
Nguyen Quang Hieu, Dinh Thai Hoang, Nguyen Cong Luong, Dusit Niyato
iRDRC: An Intelligent Real-Time Dual-Functional Radar-Communication System for Automotive Vehicles. IEEE Wirel. Commun. Lett. 9 (12) (2020)